David B. A. Epstein

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #20,759 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 24 citations into it; #34,105 of 35,345 by trust here, #34,213 by citations
• Model Architectures — 14 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it

Whom David B. A. Epstein trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Taco Cohen
2. Maurice Weiler
3. Yann LeCun
4. Kaiming He
5. Max Welling
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. William T. Freeman
9. Alex Krizhevsky
10. Simon Graham

Who trusts David B. A. Epstein overall

1. David W. Romero

Papers from David B. A. Epstein's perspective

Ordered by how strongly the researchers David B. A. Epstein trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images (2020) — 101 citations